Training in progress epoch 13

.gitattributes

@@ -57,3 +57,5 @@ checkpoints/model-0011.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -t
 checkpoints/model-0011.ckpt.index filter=lfs diff=lfs merge=lfs -text
 checkpoints/model-0012.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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+checkpoints/model-0013.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
+checkpoints/model-0013.ckpt.index filter=lfs diff=lfs merge=lfs -text

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.0552
-- Validation Loss: 1.5872
-- Validation Accuracy: 0.6093
-- Epoch: 12
+- Train Loss: 0.9105
+- Validation Loss: 1.4840
+- Validation Accuracy: 0.6238
+- Epoch: 13
 
 ## Model description
 
@@ -57,6 +57,7 @@ The following hyperparameters were used during training:
 | 1.4693     | 1.8008          | 0.5627              | 10    |
 | 1.2464     | 1.6763          | 0.5949              | 11    |
 | 1.0552     | 1.5872          | 0.6093              | 12    |
+| 0.9105     | 1.4840          | 0.6238              | 13    |
 
 
 ### Framework versions

checkpoints/checkpoint

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tf_model.h5

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